Senior Artificial Intelligence Engineer

at  sennder

Machine Learning (ML) and Artificial Intelligence(AI) are revolutionizing the way of doing business at a global scale. sennder is a European digital freight forwarder with a data-centric problem-solving approach to build the next generation of supply chain and road logistics services. Do you want to help us to shape the future?
We are looking for a Senior Artificial Intelligence Engineer to join our central AI Planning Team - as part of sennAI department. The department’s mission is to achieve “Automated & Data-Driven Road Logistics”. We’re a large, diverse and multidisciplinary group of ML&AI engineers, data scientists, backend/frontend engineers and technical product people that are passionate by the new AI-empowered digitalization wave that is changing our world. We want to attract, retain and grow world-class talent to form a incredible group that can provide you the most productive and growth-friendly time of your career.
sennAI’s purpose is to build proprietary technology that can automate sales, brokerage and other business related activities. Such automation can enable a flywheel where data acquisition and revenues grow exponentially with one another. The scope of our teams is creating best-in-class predictive analytics services while approaching ML Engineering in an holistic, end-to-end fashion: from best practices in ML modelling until engineering excellence around our MLOps Platform that lifts the developer experience to a different realm.
Every day, we acquire 3M+ new real-time data points (augmenting by the day!) about the road logistics industry in Europe. This data is used to build the future of logistics marketplaces where pricing optimization, load-to-carrier recommendation, load search and network optimization happen in an automated fashion.
Can you even imagine where we can go with your help? Let’s #keepOnTrucking… together!

• Apply optimization and data science concepts to solve problems like network optimization, truck routing, load suggestions, tour planning and load bundles, among others;
• Define the new state-of-the-art for AI Planning challenges in the road logistics services;
• Develop optimization (e.g.: MIP, SAT, PBO) and/or reinforcement learning expertise beyond basic library usage, mentor and be mentored by other team members;
• Prototype and subsequently operationalize innovative, data-intensive, end-to-end artificial-intelligence-based decision engines to solve large-scale combinatorial optimization problems, following the latest best practices on AI/MLOps;
• Enforce the best principles in AI System Design by balancing the feedback loop on data exploitation and data acquisition, follow the 80/20 ruling, focus on the right metric in every design decision and once a shippable amount of value is created, go live, evaluate, learn and iterate;
• Demonstrate your leadership skills and manage an Artificial Intelligence based project or product, which you will define through frequent cross-functional interactions with your peers as well with experienced logistics professionals and Technical Product Owners, among other stakeholders;